Objective The principal goal of the project is to develop and investigate pattern recognition systems based on a high-performance neural network classifier that combines fast learning and recognition, high performance, and ability to form arbitrary complex decision boundaries. A prototype of toolkit for pattern recognition systems development will be created which will enable the development of pattern recognition applications superior to existing systems in respect of high performance and the possibility to optimize feature sets. The project will benefit from the original architecture of neural networks on which the classifier is based and efficient implementation through parallel transputer systems. The project will contribute to progress in the area of pattern recognition. The neural network classifier to be developed will substantially assist the solution of traditional classification problems, including financial analysis, automated medical tests, industrial inspection, diagnostics, etc. Moreover, it will enable a number of important problems to be solved that are difficult for other classifiers including pattern classification tasks for large training sets (>100000 training samples), short recognition time (microseconds) and optimization of feature sets Programme(s) IC-INTAS - International Association for the promotion of cooperation with scientists from the independent states of the former Soviet Union (INTAS), 1993- Topic(s) 22 - Informatics Call for proposal Data not available Funding Scheme Data not available Coordinator Parsytec Eastern Europe Parallele Computer GmbH EU contribution No data Address Bernsdorfer Straße 210-212 09126 Chemnitz Germany See on map Total cost No data Participants (3) Sort alphabetically Sort by EU Contribution Expand all Collapse all Joint Venture Parsytec Kiev Ltd. Ukraine EU contribution No data Address 252056 Kiev See on map Total cost No data National Academy of Sciences of Ukraine Ukraine EU contribution No data Address 252650 Kiev See on map Total cost No data University of Nottingham United Kingdom EU contribution No data Address University Park NG1 4BZ Nottingham See on map Total cost No data
